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Computer Modeling and Simulation, 2009. EMS '09. Third UKSim European Symposium on

Date 25-27 Nov. 2009

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Displaying Results 1 - 25 of 118
  • [Front cover]

    Page(s): C1
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  • [Title page i]

    Page(s): i
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  • [Title page iii]

    Page(s): iii
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  • [Copyright notice]

    Page(s): iv
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  • Table of contents

    Page(s): v - xiii
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  • Message from General Chairs

    Page(s): xiv
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  • Conference organization

    Page(s): xv
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  • International/Technical Program Committee

    Page(s): xvi - xvii
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  • International reviewers

    Page(s): xviii
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  • Technical Sponsors

    Page(s): xix
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  • Plenary Abstracts

    Page(s): xx - xxv
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    Provides an abstract for each of the plenary presentations and a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings. View full abstract»

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  • Intelligent Fuzzy Chaotic Control of a Two-Link Rigid Robot Arm

    Page(s): 1 - 5
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (622 KB) |  | HTML iconHTML  

    A new intelligent fuzzy chaotic control is proposed for two-link rigid robot arm. The system could have a chaotic behavior by applying a proper input. At the first step, input amplitude is varied in chaotic range, then the unstable period orbits (UPOs) of the plant, by using the Poincare map, and the convenient gains, are found for each amplitude. At the second step, maximum changed value of UPOs, which can be controlled with the computed gains, are obtained. So we have a lot of fuzzy regions a round of UPOs with the definite controlling rules. These regions should be overlapped and covered all spaces between two nearer fixed-points. By this way, the system could be controlled by routing the best path with considering the lowest consumption through the UPOs. View full abstract»

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  • SOA of Smart City Geospatial Management

    Page(s): 6 - 10
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (567 KB) |  | HTML iconHTML  

    The research is essentially to modularize the structure of utilities and develop a system for following up the activities electronically on the city scale. The GIS operational platform will be the base for managing the infrastructure development components with the systems interoperability for the available city infrastructure related systems. The research will develop Service Oriented Architecture (SOA) in order to geospatially manage the available city infrastructure networks. The concentration will be on the available utility networks in order to develop a comprehensive, common, standardized geospatial data models. The construction operations for the utility networks such as electricity, water, Gas, district cooling, irrigation, sewerage and communication networks; are need to be fully monitored on daily basis, in order to utilize the involved huge resources and man power where the SOA will significant value. These resources are allocated only to convey the operational status for the construction and execution sections that used to do the required maintenance. The need for a system that serving the decision makers for following up these activities with a proper geographical representation will definitely reduce the operational cost for the long term. View full abstract»

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  • Misuse Detection via a Novel Hybrid System

    Page(s): 11 - 16
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (431 KB) |  | HTML iconHTML  

    Intrusion detection systems (IDS) are tools located inside computer networks that analyze the network traffics. In this paper, a novel fuzzy-evolutionary system is presented to effectively detect the intrusion in computer networks. This system utilizes a hybridization of simulated annealing heuristic and tabu search algorithm to improve the accuracy of fuzzy if-then rules as intrusion detectors. Each of these algorithms has its advantageous and disadvantageous. Using the hybrid model of both algorithms, the proposed system employs the good features of them to improve the accuracy of obtained rules. Evaluation of the proposed system is done on the KDDCup99 Dataset which has information about normal and intrusive behaviors in networks. Results of our model have been compared with several well-known intrusion detection systems. View full abstract»

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  • CaDSS: A Framework for Enhancing Decision Making in Pervasive Computing Environment

    Page(s): 17 - 22
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (482 KB) |  | HTML iconHTML  

    The role of context for better decision-making has been a topic of significant research effort over the years. Context-aware systems are able to adapt their operations to the current context without explicit user intervention and thus aim at increasing usability and effectiveness by taking environmental context into account. These systems exploit information about the context of use, such as the location, tasks and preferences of the user, in order to adapt their behavior in response to change operating environments and user requirements. Pervasive computing sketches a pleasant vision for future computing environments that computing power is present anywhere anytime. Utilizing context, decision making can provide better and more desirable outcome to their users. Here, in this paper, effects and advantages of exploiting context in decision making is discussed. We propose a framework of a context-aware decision support system (CaDSS), including components, their elements and functions. View full abstract»

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  • Implementation of a Prototype for a Traditional Solar Tracking System

    Page(s): 23 - 30
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (828 KB) |  | HTML iconHTML  

    Solar energy is rapidly advancing as an important means of renewable energy resource. More energy is produced by tracking the solar panel to remain aligned to the sun at a right angle to the rays of light. This paper describes in detail the design and construction of a prototype for solar tracking system with two degrees of freedom, which detects the sunlight using photocells. The control circuit for the solar tracker is based on a PIC16F84A microcontroller (MCU). This is programmed to detect the sunlight through the photocells and then actuate the motor to position the solar panel where it can receive maximum sunlight. View full abstract»

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  • Particle Swarm Modelling of a Flexible Beam Structure

    Page(s): 31 - 36
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (466 KB) |  | HTML iconHTML  

    This paper presents a particle swarm optimization (PSO) algorithm with dynamic spread factor inertia weight and its application to dynamic modeling of a flexible beam structure. In this study, system identification scheme based on PSO is formulated to obtain a dynamic model of the beam in parametric form. A PSO algorithm with dynamic spread factor inertia weight is proposed and its performance is assessed in comparison to a standard PSO in modelling the flexible beam structure. View full abstract»

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  • Active Vibration Control of a Flexible Plate Structure Using Ant System Algorithm

    Page(s): 37 - 42
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (625 KB) |  | HTML iconHTML  

    This paper presents investigations into modeling and active vibration control (AVC) of a flexible plate structure using continuous ant system algorithm (CASA) such structures. The optimization technique is utilized to obtain a dynamic model of a flexible plate structure based on auto-regressive with exogenous (ARX) input model structure. The flexible plate structure is subjected to two different disturbance signal types, namely random, and finite duration step. The fitness function for the CASA is the mean-squared error (MSE) between the measured and estimated outputs of the plate. The validation of the algorithm is presented in both time and frequency domains. The developed CASA modeling approach is used for AVC system design to suppress the vibration of the flexible plate. The performance of the controller is assessed in terms of level of attenuation achieved in the power spectral density of the observed signal. View full abstract»

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  • PSO-Based Parametric Modelling of a Thin Plate Structure

    Page(s): 43 - 48
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (572 KB) |  | HTML iconHTML  

    Parametric modelling of dynamic structure may benefits from features of particle swarm optimization (PSO), which robust and fast in solving nonlinear, non-differentiable, and multimodal problems. This paper presents the PSO approach which includes an improved algorithm to model a flexible plate structure parametrically. The introduction of a dynamic spread and momentum factor, both by modifying the inertial weight of each particle, solves the problem of getting stuck at local optima, preserves diversity and trades-off between exploration and exploitation. The identification is performed on basis of minimizing the mean-squared output error and is assessed with correlation tests and in time and frequency domains. It is shown input-output characterization in time and frequency domains that the improved algorithm possesses features of accuracy and quick convergence. View full abstract»

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  • Solving Job Shop Scheduling Problem Using Cellular Learning Automata

    Page(s): 49 - 54
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (531 KB) |  | HTML iconHTML  

    Cellular Learning Automata (CLA) is one of the newest optimization methods for solving NP-hard problems. The Job Shop Scheduling Problem (JSSP) is one of these problems. This paper, proposes a new approach for solving the JSSP using CLA with two kinds of actions' set. By generating actions based on received responses from the problem environment, appropriate position for operations of jobs is chosen in execution sequence. The goal in the problem is to minimize maximum completion time of jobs, known as makespan. We present our approach in an algorithmic form after problem definition and a brief description of cellular learning automata. The algorithm is tested on several instances of verity of benchmarks and the experimental results show that it generates nearly optimal solutions, compared with other approaches. View full abstract»

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  • Multimedia Based Intelligent Content Networking for Future Internet

    Page(s): 55 - 59
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (585 KB) |  | HTML iconHTML  

    Content management is increasingly becoming a complex task. The Future Internet is expected to provide services which is content centric. The multimedia content described syntactically, semantically, but these powerful capabilities remain untapped and this results in diminishing benefits. In the research, how the content intelligently forward based on various things such as intent, knowledge base, context, situation, emotions, user activity, etc for Future Internet, pervasive computing services, context aware content services considered to achieve objectives of Future Internet. The research results provide intelligent content distribution to the devices depending on inference of user's, mobile device contexts. The content handled entirely different by forwarding the content to the device by intelligent engine system so that devices get personalized content, services, interactive content. The result delivers content, intelligent decisions, thus benefits the device users for getting personalized, context aware multimedia content services in Pervasive environment. View full abstract»

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  • Using Particle Swarm Optimization for Robot Path Planning in Dynamic Environments with Moving Obstacles and Target

    Page(s): 60 - 65
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (493 KB) |  | HTML iconHTML  

    Robot path planning in known and dynamic environments is feasible for mobile robots and its main purpose is to find a collision free path for a robot from an initial position to a goal position in an environment with obstacles. In this paper the goal position is assumed to be moving over the time. Also our environment includes moving obstacles as well as static ones. We present a new approach for path planning mobile robots using Particle Swarm Optimization in order to minimize total path planning time while avoiding the local optimums. Simulation is used to validate and illustrate the approach. View full abstract»

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  • Adaptive Framework and User Preference Modeling for Economy Class Aircraft Passenger Seat

    Page(s): 66 - 69
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (781 KB) |  | HTML iconHTML  

    Air travel is becoming increasingly more accessible to people both through the availability of cheap flights and because the airlines are now able to cater for individuals of all ages and disabilities. Air travels, especially for long haul, may cause both physiological and psychological discomfort to passenger. Passenger comfort is clearly a main factor in user's acceptance of transportation systems. The paper presents an adaptive framework and user preference model for economy class aircraft passenger seat. The adaptive framework is based on the passenger's current and target sitting comfort states to reduce the sitting discomfort. The system uses a seat feedback system to regulate the passenger sitting comfort. The user preference model is used for personalized seat service delivery systems. View full abstract»

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  • Perception Estimation of Vehicle Motion

    Page(s): 70 - 73
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (369 KB) |  | HTML iconHTML  

    Vehicular movements are bounded to some rules and regulations based on the environment and road networks. Visual signals are the most common way of transferring perception of motion to immediate vehicles but these indications do not portray correct perception of the motion. Visual indications are reserved for forward vehicle intensions but such indications can not provide surety of avoiding collisions between vehicles because these indications are generated in result of human decisions. Main reasons of collision are either wrong estimation of motion of immediate vehicles by the driver or a delayed understanding of visual indications by followers of particular vehicle. If this delay is transformed into immediate understanding by using intelligent controllers in vehicles then result will be a collision free motion between them. In this paper, an understanding is developed against perception of motion and its effects on followers and a recommended intelligent controller is presented for vehicles. View full abstract»

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  • Intelligent Insulin Infuser

    Page(s): 74 - 78
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (471 KB) |  | HTML iconHTML  

    Diabetes is a common disease, and one in which the patient has to undergo many lifestyle changes. In this paper we propose a model in which fuzzy logic can be used to determine the amount of insulin to be dosed to a diabetic, without the person having to calculate the same every half hour. Such systems have already been proposed, and we have worked based on already existing papers. This system uses the fuzzy type of reasoning, which closely resembles what a human being would do. The system involves feedback, and uses continuous blood glucose monitoring and an insulin pump, making it an artificial pancreas. Our aim is to propose a system that is easy to handle by any diabetic of any age, and does not hamper their daily life. View full abstract»

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